Senior MLOps Engineer

Project description

The Platform Drivers team is on the lookout for a dynamic, energetic software engineer who can design, develop, and maintain clean and robust code. If you understand the intricacies of the Linux kernel and device drivers, this is the role for you. Join us! As a key contributor to the success of the client's IP, you will be part of a leading team to drive and enhance the client's abilities to deliver the highest quality, industry-leading technologies to market.

Responsibilities Build and maintain end-to-end ML pipelines (data → training → deployment → monitoring). Automate data processing, feature engineering, and model retraining workflows. Deploy and optimize ML/DL models for production and real-time inference. Develop CI/CD pipelines for ML workflows. Manage on-prem ML infrastructure.

Skills Must have Strong proficiency in Python with hands-on experience in core ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Solid foundation in machine learning algorithms and deep learning, including regression, tree-based models, clustering, CNNs, RNNs, and Transformers. Proven experience in data preprocessing and feature engineering, including data cleaning, imputation, outlier handling, and dataset versioning. Practical expertise with LLMs, including prompt engineering, fine-tuning (e.g., LoRA), evaluation, and guardrails. Experience in RAG system design and agent orchestration, with knowledge of embeddings, indexing, context management, and tools such as LangChain or LlamaIndex, along with LLM performance optimization. Nice to have Has a solid desire to learn and explore new technologies. Strong communication and presentation skills. Close collaboration with different teams across various time zones.